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Background  The green microalga  Dunaliella salina  accumulates a high proportion of  β -carotene during abiotic stress conditions. To better understand the intracellular flux distribution leading to carotenoid accumulation, this work aimed at reconstructing a carbon core metabolic network for  D. salina  CCAP 19/18 based on the recently published nuclear genome and its validation with experimental observations and literature data.    Results  The reconstruction resulted in a network model with 221 reactions and 212 metabolites within three compartments: cytosol, chloroplast and mitochondrion. The network was implemented in the MATLAB toolbox CellNetAnalyzer and checked for feasibility. Furthermore, a flux balance analysis was carried out for different light and nutrient uptake rates. The comparison of the experimental knowledge with the model prediction revealed that the results of the stoichiometric network analysis are plausible and in good agreement with the observed behavior. Accordingly, our model provides an excellent tool for investigating the carbon core metabolism of  D. salina .    Conclusions  The reconstructed metabolic network of  D. salina  presented in this work is able to predict the biological behavior under light and nutrient stress and will lead to an improved process understanding for the optimized production of high-value products in microalgae.

Reconstruction and analysis of a carbon-core metabolic network for Dunaliella salina